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Particle swarm optimisation for the design of brushless permanent magnet machines

Lookup NU author(s): Dr Rafal Wrobel

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Abstract

This paper describes the use of a particle swarm optimisation (PSO) algorithm in the design optimisation of two surface magnet brushless machines. Two PSO algorithms are presented: the global best PSO (gbest PSO) and local best PSO (lbest PSO). The aim is to determine the multi-polar permanent magnet (PM) array that maximises the motor's output. Two parameters are optimised: the arc lengths and the directions of magnetisation of the PM segments. The proposed optimisation system combines a two-dimensional (2D) finite element method (FEM) with a PSO algorithm. The objective function used in the optimisation procedure is based on maximising phase flux linkage for a given volume of permanent magnet. The calculation results are compared with radial, uniform and discrete sinusoidal Halbach magnetisations of the rotor. © 2006 IEEE.

Publication metadata

Author(s): Wrobel R, Mellor PH

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)

Year of Conference: 2006

Pages: 1891-1897

Online publication date: 11/12/2006

Publisher: IEEE

URL: https://doi.org/10.1109/IAS.2006.256794

DOI: 10.1109/IAS.2006.256794

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